Livia Blum
- Immunology top 5%
- Hematology top 5%
- Molecular Biology
- Genetics top 5%
- Epidemiology
- Co-authors
- Louis PillemerIrwin H. LepowEarl W. ToddA. C. WardlawLeona WurzMelvin D. SchoenbergOscar D. RatnoffJack Pensky
- Topics
- Protein purification and stability (4 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Cited by
- ImmunologyHematologyMicrobiology
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Livia Blum
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 664
- Hematology 337
- Molecular Biology 278
- Genetics 199
- Epidemiology 192
Countries citing papers authored by Livia Blum
This map shows the geographic impact of Livia Blum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Livia Blum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Livia Blum more than expected).
Fields of papers citing papers by Livia Blum
This network shows the impact of papers produced by Livia Blum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Livia Blum. The network helps show where Livia Blum may publish in the future.
Co-authorship network of co-authors of Livia Blum
This figure shows the co-authorship network connecting the top 25 collaborators of Livia Blum. A scholar is included among the top collaborators of Livia Blum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Livia Blum. Livia Blum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | The properdin system and immunity. XI. Studies on the interaction of zymosan with the properdin system. | 0 |
| 3 | The properdin system and immunity. XIII. Assay and properties of a heat-labile serum factor (factor B) in the properdin system. | 2 |
| 4 | 44 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | EVIDENCE FOR IMMUNOLOGICAL SPECIFICITY OF THE PROPERDIN SYSTEM; DEMONSTRATION, ISOLATION AND PROPERTIES OF A SERUM FACTOR WHICH INTERACTS WITH ZYMOSAN AND OTHER POLYSACCHARIDES AT 0 DEGREES CENTIGRADE. | 14 |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 265 | |
| 12 | 205 | |
| 13 | 48 | |
| 14 | The Properdin System and Immunity: I. Demonstration and Isolation of a New Serum Protein, Properdin, and Its Role in Immune Phenomenabreakdown → | 688 |
| 15 | 74 | |
| 16 | 35 | |
| 17 | 48 |
About Livia Blum
Livia Blum is a scholar working on Immunology, Genetics and Hematology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (664 citations), Hematology (337 citations) and Microbiology (117 citations). Livia Blum has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Louis Pillemer, Irwin H. Lepow, Earl W. Todd, A. C. Wardlaw, Leona Wurz, Melvin D. Schoenberg, Oscar D. Ratnoff, Jack Pensky, Peter Chase and Stanley L. Wallace. Their work appears in journals such as Science, The Lancet and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.